Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
I have the following table:
I want to create something like below for each green, yellow, and red values
Is is possible to create slicer like this in Power BI?
Solved! Go to Solution.
Projects
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUXIvSk3NA9KRqTk5+eVARlBqCpA0MNQHIiMDQzOlWJ1oJScklRg6jIBqjUFqzcFqneGGoOswNNQ3NEAodMG0FkIaWkAtt1CKjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Project = _t, Metric1 = _t, Metric2 = _t, Metric3 = _t, StartDate = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"StartDate", type date}})
in
#"Changed Type"ProjectMetrics
let
Source = Projects,
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(Source, {"Project", "StartDate"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns1",{{"Attribute", "Metric"}, {"Value", "State"}})
in
#"Renamed Columns"
As your filtering the metric table you may need to add bidirectional filters, though this should be avoid if not need as it slows the model.
Yes if you unpivot the data. You can then either have 2 slicers or a page level filter for each States.
This is the advanced editor query editor text for a sample.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUXIvSk3NA9KRqTk5+eVARlBqilKsTrSSE5IkmiKQtDNUKboikJwLunlQU2MB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Project = _t, Metric1 = _t, Metric2 = _t, Metric3 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Project", type text}, {"Metric1", type text}, {"Metric2", type text}, {"Metric3", type text}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Project"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute", "Metric"}, {"Value", "State"}})
in
#"Renamed Columns"
Thank you for your quick reply. However, I made all calculation using calculated column within my data model. Is it still possible to unpivot it within the data model? Perhaps like making a copy and unpivot?
Yes but you may need to have 2 queries one at project and one at project metric level then join these.
Projects
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUXIvSk3NA9KRqTk5+eVARlBqCpA0MNQHIiMDQzOlWJ1oJScklRg6jIBqjUFqzcFqneGGoOswNNQ3NEAodMG0FkIaWkAtt1CKjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Project = _t, Metric1 = _t, Metric2 = _t, Metric3 = _t, StartDate = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"StartDate", type date}})
in
#"Changed Type"ProjectMetrics
let
Source = Projects,
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(Source, {"Project", "StartDate"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns1",{{"Attribute", "Metric"}, {"Value", "State"}})
in
#"Renamed Columns"
As your filtering the metric table you may need to add bidirectional filters, though this should be avoid if not need as it slows the model.
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 45 | |
| 38 | |
| 34 | |
| 21 | |
| 17 |
| User | Count |
|---|---|
| 66 | |
| 64 | |
| 31 | |
| 26 | |
| 26 |